About me
Welcome to my page đź‘Ź, I am a PhD candidate (2021-now) in the Department of Computer Science at Durham University (UK), supervised by Prof. Hubert P. H. Shum and Dr. Stamos Katsigiannis. My primary interests are deep learning, machine learning, and data analysis. Specifically, I utilize time-series analysis and graph neural network (GNN) techniques to address challenges in pedestrian and vehicle trajectory prediction, as well as human motion recognition in real-world scenarios.
Prior to Durham University, I obtained a Bachelor of Science in Computer Science with Artificial Intelligence (2016-2019) and a Master of Science in Advanced Computer Science (Data Analytics) (2019-2020) from the University of Leeds. I am deeply interested in the applications of time-series and spatial-temporal modeling in real-world scenarios, and I am committed to exploring cutting-edge research in these areas.
Outside of my research, I am passionate about music—playing the piano, guitar, and singing—and I enjoy sports like snooker, football, and badminton.
I am also enthusiastic about participating in teaching (demonstration) activities at the university for the following modules:
- Postgraduate Module: Text Mining and Language Analytics
- Postgraduate Module: Learning from Data
- Postgraduate Module: Programming for Data Science
- 2nd Year Module: Data Science (Probability, Image Processing and Computer Graphics)
- 1st Year Module: Algorithms and Data Structures